The Ultrasound Imaging Module: A Report from the GRAPPA 2010 Annual Meeting
Bibliographic record
Abstract
In a plenary session at the 2010 meeting of the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA), the use of sonography for evaluating articular disease and enthesitis in psoriasis and psoriatic arthritis (PsA) was reviewed. Ultrasound can readily demonstrate signs of synovitis, erosions, and osteoproliferation. There is a need to develop ultrasound joint indices to evaluate and follow PsA longitudinally. Sonography is able to depict ultrastructural features of enthesitis, as well as increased vascularity. Sonographic signs of subclinical enthesitis in patients with psoriasis have been reported by 2 groups, 1 of which has reported limited longitudinal data that suggest baseline composite enthesitis scores may predict future risk of PsA. Although recent studies have studied mostly lower extremity entheses, further work is needed to clarify if other areas need to be included, especially within the framework of the synovial entheseal complex. The study design of the PREPARE (Prevalence of Psoriatic Arthritis in Adults with Psoriasis) trial was also presented.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.029 | 0.027 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".